74
Stack Score
Editorial pick✓ Verified working
Fireworks AI
Fast inference for open-source models with function calling
Try Fireworks AI✓ Free trial available
Best for
Best for teams running open-source LLMs that need function calling and structured outputs at scale.
At a glance
- Pricing
- paid
- Setup time
- 15 minutes
- Learning curve
- medium
- Last verified
- 5/21/2026
What we love
- ✓Top-tier latency benchmarks on open-source models
- ✓Function calling that actually works on Llama
- ✓OpenAI SDK compatibility makes integration trivial
Where it falls short
- −Smaller model catalog than Together
- −Pricing can be opaque for dedicated workloads
- −Documentation lighter than the bigger inference providers
Pricing
✓ Pricing verified Jun 21, 20263 tiers
Serverless
From $0.20/M tokens
per token
- ✓Top open-source models
- ✓Function calling
- ✓No commit
On-demand GPUs
From $2.90/hr
per GPU-hour
- ✓Reserved capacity
- ✓Custom deployments
Enterprise
Custom
annual contract
- ✓SLA
- ✓Private deployments
- ✓Volume pricing
Why we picked it
Fireworks consistently benchmarks at or near the top for Llama latency. The function-calling support is a real differentiator when you want tool-use behaviors on open-source models.
Overview
Inference platform that competes with Together AI on latency for Llama, Mixtral and DeepSeek. Strong function-calling support and an OpenAI-compatible API.
Key features
- ●OpenAI-compatible Chat Completions API
- ●Function calling and structured outputs on open models
- ●Speculative decoding for low latency
- ●FireOptimizer for automated model tuning
- ●Hosted Llama, Mixtral, DeepSeek, Qwen
- ●Vision models including LLaVA
- ●Fine-tuning via LoRA
Best use cases
Move off OpenAI without rewriting code
Change the base URL, point at Llama 3.3, keep your function-calling logic intact.
Build an agent on open-source models
Use Fireworks function calling to power tool-using agents without paying GPT-4 prices.
Integrations
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